Assessing the Particulate Matter Removal Abilities of Tree Leaves

Jinqiang Liu; Ruina Zhang; Huanhuan Liu; Jie Duan; Jia Kang; Zemin Guo; Benye Xi; Zhiguo Cao

doi:10.3791/58026

JoVE Journal > Environment

環境学

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Published: October 07, 2018

doi:

10.3791/58026

Jinqiang Liu*¹, Ruina Zhang*¹, Huanhuan Liu¹, Jie Duan¹, Jia Kang¹, Zemin Guo¹, Benye Xi¹, Zhiguo Cao²

¹Key Laboratory of Silviculture and Conservation of Ministry of Education,Beijing Forestry University, ²School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control,Henan Normal University

概要

The ultrasonic cleaning method was applied to elute the particulate matter (PM) retained on leaf surfaces after PM was eluted by the conventional cleaning methods (water cleaning only or water cleaning plus brush cleaning). The methodology can help to improve the estimation accuracy for PM retention capacity of leaves.

Abstract

Based on the conventional cleaning methods (water cleaning (WC) + brush cleaning (BC)), this study evaluated the influence of ultrasonic cleaning (UC) on collecting various sized particulate matter (PM) retained on leaf surfaces. We further characterized the retention efficiency of leaves to various sized PM, which will help to assess the abilities of urban trees to remove PM from ambient air quantitatively.

Taking three broadleaf tree species (Ginkgo biloba, Sophora japonica, and Salix babylonica) and two needleleaf tree species (Pinus tabuliformis and Sabina chinensis) as the research objects, leaf samples were collected 4 days (short PM retention period) and 14 days (long PM retention period) after the latest rainfall. PM retained on the leaf surfaces was collected by means of WC, BC, and UC in sequence. Then, retention efficiencies of leaves (AE_leaf) to three types of the various sized PM, including easily removable PM (ERP), difficult-to-remove PM (DRP), and totally removable PM (TRP), were calculated. Only around 23%-45% of the total PM retained on leaves could be cleaned off and collected by WC. When the leaves were cleaned through WC+BC, the underestimation of the PM retention capacity of different tree species was in the range of 29%-46% for various sized PM. Almost all PM retained on leaves could be removed if UC was supplemented to WC+BC.

In conclusion, if the UC was complemented after the conventional cleaning methods, more PM on leaf surfaces could be eluted and collected. The procedure developed in this study can be used for assessing the PM removal abilities of different tree species.

Introduction

The abilities of different tree species to remove PM from ambient air can be assessed through quantifying the mass of PM retained on leaf surfaces. To achieve this objective, the subtraction method¹^,², the membrane filter method³^,⁴^,⁵, and the elution-weighing method coupled with particle size analysis⁶ have been applied to quantitatively estimate the mass of PM_2.5 (diameter ≤ 2.5 µm), PM₁₀(diameter ≤ 10 µm) or total suspended particulate (TSP) retained on leaves. However, the accuracy of these methods basically depends on their performance in collecting PM retained on the leaf surfaces. At present, the conventional leaf cleaning method used in related studies often includes one or two steps, namely only water washing (soak and rinse leaves using deionized water)³^,⁷ or plus brushing⁵^,⁸^,⁹. However, some studies¹⁰^,¹¹ have demonstrated that PM on leaf surfaces could not be completely eluted by the conventional cleaning method. As ultrasonic cleaning has the advantages of high speed, high quality, and little damage to the surface of the object, it has great potential to be used to collect the PM retained on leaf surfaces with complex microstructures. At present, ultrasonic cleaning has been applied in some studies to collect PM retained on leaf surfaces (i.e., put the leaves into deionized water, and use the ultrasonic cleaner to elute PM)¹²^,¹³. However, this method is only used as a supplement to a leaf cleaning method, while it is not known whether the ultrasonic cleaning has a positive effect on collecting PM from leaf surfaces and its optimum operating parameters are also not clear. Our previous research has shown that the PM retained on Ginkgo biloba leaf surface could be completely eluted without destroying the leaf surfaces, if a proper ultrasonic cleaning procedure was supplemented to the conventional cleaning method¹¹. However, the stability and general applicability of the ultrasonic cleaning parameters (ultrasonic power, time, and other information) to different plant species experiencing different dust retention periods are still not clear.

Currently, the mass of PM_2.5, PM₁₀, or TSP on unit leaf area has often been utilized to evaluate the abilities of different tree species to remove PM from ambient air¹⁴^,¹⁵. Under the natural condition, the PM retained on leaf surfaces can be classified into two parts: the first part is the PM that can fall off leaves due to the effects of wind and rainfall, while the other part is the PM that is tightly adhered to leaf surfaces and cannot be easily washed off by rainfall. However, few studies have focused on the mass of both types of PM on leaf surfaces. In addition, the PM retention periods of leaves in different studies differ enormously. Thus, the comparability of the results of these studies will be poor, if the mass of PM retained on unit leaf area is adopted to assess the PM removal abilities of trees¹⁶. Consequently, the PM retention efficiency (the mass of PM retained on unit leaf area per unit time), as an alternative, was proposed to evaluate the PM purification effects of urban trees⁵^,¹⁷. In general, there is still a lack of research in this aspect. It is extremely necessary to carry out relevant studies for different tree species to provide methodological basic and data support for assessing the PM removal abilities of different tree species accurately.

Here, three broadleaf tree species (G. biloba, Sophora japonica, and Salix babylonica) and two needleleaf tree species (Pinus tabuliformis and Sabina chinensis) were selected to evaluate their PM removal abilities under two PM retention periods. The leaf sampling site was in Xitucheng Park (39.97° N, 116.36° E), located in an area with heavy pollution in Beijing. The three specific objectives of this study were: (1) to assess the efficiency of different leaf cleaning methods (water cleaning (WC), brush cleaning (BC), and ultrasonic cleaning (UC)) in eluting the PM on leaves, (2) to verify the effect of ultrasonic cleaning on eluting PM, and (3) to assess the retention efficiency of different tree species to PM₁, PM_2.5, PM₅, PM₁₀, and TSP.

Protocol

1. Leaf Collection, Elution and Mass Measurement of PM

Select five healthy individual trees (i.e., five replicates) of each tree species with similar diameter at breast height. Collect four larger branches randomly from four directions of the outer canopy in the middle canopy layer and cut off all intact leaves.
NOTE: All plants for leaf sampling should be located closely in a greening strip with length and width of about 250 and 60 m, respectively, to ensure that the environment conditions (wind, light, and rain) of these trees are similar. The leaves used in the protocol were collected on October 15th (short dust retention (SDR) period) and October 25th (long dust retention (LDR) period) in 2014, which were 4 and 14 days after the latest rainfall (> 15 mm), respectively. The average levels of PM under the short and long dust retention period (i.e., the duration between the last rainfall and the leaf sampling time) in our experiment were 26 (PM_2.5), 57 (PM₁₀), and 111 (PM_2.5), 160 µg/m³ (PM₁₀), respectively.
1. Place the sampled leaves in labeled valve bags and transport the bags to the laboratory immediately. Store the leaf samples in the fridge.
Wash and dry the beakers in the 80 °C oven. Equilibrate the beakers to room temperature and humidity and weigh the empty beakers (W₁).
Randomly select a certain amount of leaves from leaf samples and put the leaves in a 1000 mL beaker (Beaker A).
NOTE: The leaf area is about 2000 cm², which can guarantee all the leaves can be immersed in the water completely and the eluted dust has sufficient weight to be weighed accurately.
Add 270 mL of deionized water to the Beaker A and immerse the leaves in water completely.
1. Stir the water for 60 s with a glass rod in one direction (frequency: 2 seconds for one rotation). Afterwards, pour the eluent into three 100 mL small beakers (Beaker a) evenly.
2. Wash the leaves using a fine tipped squeeze bottle with 30 mL of deionized water and transfer the washed leaves to a 1000 mL beaker (Beaker B). Pour the eluent into three 100 mL small beaker (Beaker a) evenly.
Add 270 mL of deionized water to Beaker B and immerse the leaves in water again. Then use a nylon brush to scrub the leaf surface (placing on flat thin plastic plate) with deionized water and avoid destroying the microstructure of leaf surface. Pour the eluent into three 100 mL small beakers (Beaker b).
1. Wash the leaves using the squeezable bottle with fine tip with 30 mL of deionized water and transfer the leaves into a 1000 mL beaker (Beaker C). Pour the eluent into three 100 mL small beaker (Beaker b).
Add 270 mL of deionized water to Beaker C and immerse the leaves in water again.
1. Put the glass container into the ultrasonic cleaning machine. Using an ultrasonic power of 500 W, clean for 3 min and 10 min for leaves of the broadleaf and needleleaf tree species, respectively. Stir the leaves with a glass rod in one direction (frequency: 2 seconds for one circle) simultaneously.
2. Wash the leaves using the squeezable bottle with fine tip with 30 mL of deionized water and pour the eluent into three 100 mL small beakers (beaker c).
Cover a piece of clean filter paper (diameter = 11 cm, area = 94.99 cm²) on each beaker (a, b, c) and dry the beakers in the 80 °C oven for approximately 5 days until the mass of the beakers becomes constant.
1. Put the beakers in a balance chamber to equilibrate the temperature and humidity for 30 min, and weigh the mass of each 100 mL beakers (W₂). Calculate the mass of PM eluted by each cleaning step by W₂–W₁.

2. Measurement of PM Size Distribution and Leaf Area

Add 50 mL of deionized water to each weighed beaker (a, b, c) mentioned above and place these beakers in an ultrasonic cleaning machine for 30 min until the PM disperses in deionized water.
Add the supernatant in beaker (a, b, c) to the laser granularity instrument and measure the size distribution of PM eluted by different cleaning steps.
1. Assume the measured volume percentages to be mass percentages (Q) of different-sized particles. Calculate the proportion of different-sized particles eluted by each cleaning step by equation (1):
  (1)
  where P_i,j represents the mass proportion (%) of the particles within the j diameter class eluted from the leaf surfaces by the cleaning step i; W_i represents the total mass (g) of all sized particles eluted by the cleaning step i; Q_i,j represents the mass percentage (%) of the particles within the j diameter class in the total PM mass eluted by the cleaning step i; i is the cleaning step (i.e., WC, BC, and UC); and j is the diameter class, which was set to d ≤ 1 µm (PM₁), 1 < d ≤ 2.5 µm (PM_1-2.5), 2.5 < d ≤ 5 µm (PM_2.5-5), 5 < d ≤ 10 µm (PM_5-10), d > 10 µm (PM_>10) in the present study.
Spread leaves on the plastic board and scan the leaves with a high-quality scanner. Use automatic image analysis software to estimate the surface area and projected area of leaves.
NOTE: The protocol can be paused here.

3. Data Presentation and Analysis

Calculate the total removable particulate matter (TRP) as the sum of the ERP and DRP that can be eluted by WC + BC + UC.
Under different dust retention periods, calculate the total mass of the PM within a specificdiameter class retained on leaves as the sum of the mass of the PM within corresponding diameter class eluted by the different cleaning steps (i.e., WC, BC, and UC).
1. Using these data and the leaf area data, calculate the retention efficiency (AE_leaf) of the various sized particles on unit leaf surface area using equation (2):
  (2)
  where LZ_j and SZ_jare the mass (g) of the particles within the j diameter class retained on unit leaf area under the periods of LDR and SDR, respectively; LT and ST are the numbers of days in the periods of LDR and SDR, respectively.
Conduct all the statistical analyses with SPSS software.
1. Use the Kolmogorov-Smirnov test and the Levene test to verify the ANOVA assumptions of normality and the homogeneity of variances, respectively, for the elution percentages of the different-sized particles and the PM retention capacity data.
2. Apply one-way ANOVA to investigate the effects of the different cleaning steps on the elution percentages of the different-sized particles under various dust retention periods. Use Duncan's test (P = 0.05) to detect the significant differences among different cleaning steps.

Representative Results

The PM retained on leaf surfaces had two types under natural conditions. The PM falls off easily by rainfall and wind under natural conditions is defined as the easily removable particulate matter (ERP). This type of PM was represented by the PM eluted by WC in this study. The PM that tightly adheres to leaf surfaces and cannot be easily washed off by BC and UC is defined as the difficult-to-remove particulate matter (DRP). This kind of PM cannot be eluted by natural rainfall and wind.

There was a significant difference among the five tree species in the mass proportions of various-sized PM eluted by different cleaning steps. The result showed that a large number of different sized PM were eluted from leaf surface by WC (Figure 1, Figure 2, Figure 3, Figure 4, and Figure 5). The average eluted proportions (ERP) of various-sized PM of the five tree species were 31% and 35% under the SDR and LDR, respectively (Figure 6).

In addition, the WC showed a stronger effect on eluting PM on leaves of needleleaf tree species (P. tabuliformis and S. chinensis), especially for S. chinensis under the LDR period. As such, the elution percentage of WC was significantly higher than that of BC and UC (P < 0.05) for all sized PM except PM_>10. After cleaning the leaves by BC, large fractions of various sized PM were also eluted, which were 28% and 29% under the SDR and LDR periods, respectively. Similar to WC, the most distinct elution effect of BC was observed for S. japonica. The elution percentage of BC was significantly higher than that of WC (P < 0.05) for all fractions of PM under both the SDR and LDR periods. Moreover, the elution effect of BC was significantly higher than that of UC (P < 0.05) except PM with diameter < 5 µm (Figure 6). Although a large fraction of PM could be eluted from leaf surface by WC + BC, some PM with smaller diameters still adhered on leaf surfaces. Subsequently, when UC was applied to clean leaves, the residual PM retained on leaf surfaces were eluted completely (Figure 1, Figure 2, Figure 3, Figure 4, and Figure 5), and the elution proportions were 41% under SDR and 36% under LDR (Figure 6). In addition, the elution percentage of small sized PM was higher when the UC was applied. Consequently, the mass of PM would be underestimated apparently, if the conventional elution method was only adopted to elute the PM on leaves. Especially for S. babylonica, the average eluted proportions of PM in all diameter classes would be underestimated by 46%, which was higher than that for P. tabuliformis (43%), G. biloba (42%), S. japonica (31%), and S. chinensis (29%).

The AE_leaf of different types of PM of the five tree species is shown in Table 1. There was a great difference in the retention efficiency calculated by two different methods. Compared with the result estimated by equation (2), the AE_leaf calculated by equation (3): retention efficiency (mg/m²·d^-1) = the mass of the PM on a unit of leaf area (mg/m²) / the dust retention duration (d) was about 5 times higher. Especially for S. japonica, the PM₁ of ERP calculated by equation (3) was 18.94 times higher than that calculated by equation (2). In this study, for ERP, the TSP AE_leaf of different tree species varied between 12.69 and 34.69 mg·m^-2·d^-1 and decreased in the following order: P. tabuliformis > S. babylonica > G. biloba > S. japonica > S. chinensis. While in a previous study, the TSP AE_leaf of different tree species varied between 35.27 and 85.79 mg·m^-2·d^-1 and decreased in the following order: S. japonica > S. chinensis > S. babylonica > P. tabuliformis > G. biloba. The retention efficiency of different tree species in retaining various sized PM of different types (ERP, DRP, TRP) could also vary. In this study, S. japonica exhibited the highest AE_leaf in retaining the TRP of PM₁ and PM_2.5, which were 4.3 and 21.91 mg/m²·d^-1, respectively. S. babylonica had the highest AE_leaf in retaining the TRP of PM₅ (40.98 mg/m²·d^-1) and PM₁₀(62.01 mg/m²·d^-1). In addition, S. chinensis could retain more ERP of PM₁, PM_2.5, and PM₅ than the other tree species.

Figure 1: The particulate matter residue on leaves of Ginkgo biloba after different elution steps. A and B stand for the upper and lower sides of leaves of Ginkgo biloba. Different numbers stand for different elution steps. (1: without cleaning; 2: single water cleaning; 3: water cleaning + brush cleaning; 4. water cleaning + brush cleaning + ultrasonic cleaning). Please click here to view a larger version of this figure.

Figure 2: The particulate matter residue on leaves of Pinus tabuliformis after different elution steps. A and B stand for the concave and convex sides of leaves of Pinus tabuliformis. Different numbers stand for different elution steps. (1: without cleaning; 2: single water cleaning; 3: water cleaning + brush cleaning; 4. water cleaning + brush cleaning + ultrasonic cleaning). Please click here to view a larger version of this figure.

Figure 3: The particulate matter residue on leaves of Sophora japonica after different elution steps. A and B stand for the upper and lower sides of leaves of Sophora japonica. Different numbers stand for different elution steps. (1: without cleaning; 2: single water cleaning; 3: water cleaning + brush cleaning; 4. water cleaning + brush cleaning + ultrasonic cleaning). Please click here to view a larger version of this figure.

Figure 4: The particulate matter residue on leaves of Salix babylonica after different elution steps. A and B stand for the upper and lower sides of leaves of Salix babylonica. Different numbers stand for different elution steps. (1: without cleaning; 2: single water cleaning; 3: water cleaning + brush cleaning; 4. water cleaning + brush cleaning + ultrasonic cleaning). Please click here to view a larger version of this figure.

Figure 5: The particulate matter residue on leaves of Sabina chinensis after different elution steps. A and B stand for the conical and scale-form leaves of Sabina chinensis. Different numbers stand for different elution steps. (1: without cleaning; 2: single water cleaning; 3: water cleaning + brush cleaning; 4. water cleaning + brush cleaning + ultrasonic cleaning). Please click here to view a larger version of this figure.

Figure 6: The mass proportions of the various sized particulate matter retained on the leaves of different tree species. A and B stand for short (SDR) and long (LDR) dust retention periods, respectively. WC, BC, and UC stand for the single water cleaning, brush cleaning, and ultrasonic cleaning, respectively. Data are mean ± SE. Different letters (a, b, c) above the data bar indicate significant difference (P < 0.05) among the different cleaning steps on the elution percentages of the different-sized particles under different dust retention periods, according to the Duncan test. Please click here to view a larger version of this figure.

Table 1: The mass of different types of PM retained on unit leaf area. ERP, DRP, and TR stand for the easily removable dust retention capacity, the difficult-to-remove dust retention capacity, and the total dust retention capacity, respectively. Equation (2): retention efficiency (mg/m²·d^-1) = the subtract mass of the PM on unit leaf area under the LDR and SDR periods (mg/m²) / the dust retention duration between the LDR and SDR periods (d); Equation (3): retention efficiency (mg/m²·d^-1) = the mass of the PM on a unit of leaf area (mg/m²) / the dust retention duration (d).

Discussion

Accurate and proper collection of the PM retained on leaf surfaces is the basis for assessing the PM removal abilities of different tree species. However, the conventional cleaning method (WC or plus BC) cannot completely remove the dust on leaf surfaces, which has been confirmed by scanning electron microscopy¹⁰. This was further demonstrated clearly by the present study (Figure 1, Figure 2, Figure 3, Figure 4, and Figure 5). Our study shows that, if only WC was applied to clean leaves, the PM on leaf surface would be underestimated by about 69% and 65% under the SDR and LDR periods, respectively. That is to say, a short period of rainfall with a certain intensity could only elute 31% and 35% of PM from leaf surfaces. In addition, previous studies have shown that a short and heavy rainfall could only elute 50% and 62% of the PM from the leaves of Ligustrum lucidum and Viburnum odoratissimum, respectively¹⁸. However, influence of rainfall on eluting the PM retained on leaf surfaces of P. tabuliformis was not evident. Consequently, under natural conditions, only a small part of PM on leaf surface could be eluted by rainfall. When both WC and BC were applied to clean leaves, the elution percentage of PM would also be underestimated by about 41% and 36% under the SDR and LDR periods, respectively. However, more PM could be eluted and collected from leaf surface after supplementing UC to WC+BC for cleaning leaves. Thus, for unbiased and accurate quantification of PM retained by leaves, it is necessary and crucial to add UC to the conventional leaf cleaning method.

At present, most studies using the retention capacity of PM retained on leaf surfaces to assess the particulate matter removal abilities of trees. Although this indicator is convenient for assessing the PM removal abilities under the same retention duration, there will be great difference in the retention capacities of the same tree species under different dust retention durations. Thus, it was proposed in some studies that the retention efficiency (the mass of PM retained on a unit of leaf area per unit time) should be applied to assess the plant PM removal abilities, as this can eliminate the evaluation deviation of PM removal ability due to the difference in dust retention duration. However, these studies neglected the fact that only a small part of PM on leaf surface can be eluted by rainfall. In addition, this method could result in five times overestimation of the PM removal abilities of trees, according to the results of this study (Table 1). For this reason, the calculation method of equation (2) should be applied to accurately assess the PM removal abilities of trees.

When PM elution method proposed in this study was used to determine the mass of PM on leaf surfaces, each experimental step must be accurate and avoid the errors caused by human factors as much as possible. For example, the number of leaves for each experiment depends on the specific situation, and it should be determined by the specification of experiment instrument, the dust retention duration, ultrasonic parameter, and other factors. Taking ultrasonic parameter as example, the ultrasonic cleaning duration and the centrifuge speed should be determined by multiple preliminary experiments to ensure the experimental error is within the acceptable range. In addition, the amount of deionized water used for elution should also be adjusted according to the mass of PM. Besides, each small beaker filled with eluent, while it is drying in the oven, should be covered with a piece of clean filter paper to prevent dust pollution. In brief, each step in the experiment must be carefully operated in order to repeat the proposed method accurately.

It is extremely necessary and crucial to supplement the ultrasonic cleaning procedure to the conventional leaf cleaning method, so that the PM removal abilities of trees can be assessed more accurately and quantitatively. In order to accurately compare the PM removal abilities of different tree species experiencing different dust retention durations, the retention efficiency should be calculated using the method (equation (2)) proposed in this study. Our proposed comprehensive protocol will be useful for evaluating the PM purification abilities of urban trees and forests in a precise, unbiased, and accurate manner.

開示

The authors have nothing to disclose.

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (2017ZY21) and the National Natural Science Foundation of China (21607038).

Materials

MSA2258-1CE-DU ten-thousandth scale	Sartorius Scientific Instruments (Beijing) Co., Ltd.	MSA2258-1CE-DU	precision: 0.01 mg
The IS13320 laser granularity instrument	Beckman Coulter, Brea, USA	IS13320	working conditions: liquid/power samples; particle size range of measurement: 0.017-2000 μm
Epson Twain Pro high-quality scanner	Seiko Epson, Nagano, Japan	expression1680
Automatic image analysis software WinRHIZO	Regent Instruments Inc., Quebec, Canada	WinRHIZO Pro 2013a

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Liu, J., Zhang, R., Liu, H., Duan, J., Kang, J., Guo, Z., Xi, B., Cao, Z. Assessing the Particulate Matter Removal Abilities of Tree Leaves. J. Vis. Exp. (140), e58026, doi:10.3791/58026 (2018).

Assessing the Particulate Matter Removal Abilities of Tree Leaves